Digital transformation is the latest trend, and for good reason. Being a successful food or beverage manufacturer in 2019 is no small feat. It requires an efficient supply chain and demand management, quality control, and a willingness to adapt to an ever-changing industry.
Digital transformation is achievable for all manufacturers.
The problems that digitalization solves strike at the very heart of manufacturer’s challenges today. What is real and what matters right now is how technology can solve immediate problems. Manufacturers are under competitive pressure to deliver better goods at lower costs. They want to reduce costs and streamline processes in their supply chains and factories. At the same time, customers are asking for more unique features in the products they buy. Customization versus standard products are often difficult trade-offs with implications in design processes, production costs, and schedules.
Recently I was I lucky enough to take a break from cleaning barnacles off the hull of the good ship SYSPRO to spend the week attending the Microsoft Build conference in Seattle. Microsoft uses this conference to communicate their technology vision and strategy to technology professionals. It’s a great way for nerds to get their creative juices flowing – so, apologies in advance for the long post! Stick with me, and I’ll try to end on a lighter note.
The digital shift in manufacturing and distribution as well as the wave of Baby Boomer retirement (also known as the “Silver Tsunami”) is influencing decision-makers to examine a new way of conducting business. According to the Bureau of Labor Statistics, more than 76 million Baby Boomers are expected to retire in the coming years, and their current labor participation rate will fall from 80% to below 40% by 2022. This means we must prepare to support a new wave of talent, with new needs and expectations.
The future for companies that don’t embrace digital transformation and digitization (the digital technology used to enable digital transformation) looks increasingly challenging.
To ensure that your organization can leverage these new solutions, you need to understand what exactly digital transformation is, to then embrace it.
Ever since the fictional ‘sentient computer’ HAL 9000 went rogue in ‘2001: A Space Odyssey’, people have been uneasy about the idea of machines being able to think for themselves.
Recent business thinking has come around to the more enlightened view that machines that are exclusively programmed by humans will have inherent limitations in their ability to mine data for insights and predictions. That’s where machine learning comes in – the ability of computers to perform tasks without explicit instructions.
Digitization is one of the most important business trends of recent years, but how exactly can digital transformation improve your business?
If you’ve been running a business anywhere in the world over the last few years, you’ll have undoubtedly heard multiple references to digital transformation. You may already have begun to digitize aspects of your enterprise.
We are living in the dawn of a new era. Whether you call it Industry 4.0, Industrial Internet of Things (IIoT), or Smart Manufacturing, there’s no denying that manufacturing is evolving at a pace never seen before.
With the dawn comes illumination, but not necessarily clarity. The breakneck speed with which companies are figuring out how to collect (and find value in) massive amounts of data, and integrate digital technologies such as industrial robotics, 3D printing, machine learning, OCR, cloud computing, augmented reality, and sensors, can make the Industry 4.0 revolution seem intimidating and enigmatic.
A question on many lips these days is: how can Digital Transformation (DX) solve my manufacturing challenges?
Manufacturers are under competitive pressure to deliver better goods at lower costs. They want to reduce costs and streamline processes in their supply chains and factories. At the same time, customers are asking for more unique features in the products they buy. Customization versus standard products are often difficult trade-offs with implications in design processes, production costs, and schedules.